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\title{The theory and implementation of kCON}

\author{Xin Chen}
\date{\today}


\begin{document}
\maketitle


\section{Overview}

kCON is scalable and transferable deep learning framework for chemistry with the ability to 
provide insight into atomistic structures of varying stoichiometry from small and scrap 
training sets. kCON is built upon convolutional neural networks, or more specifically, 
1D-convolutional neural networks with 1x1 convolutions.

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\include{energy}
\include{forces}

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\include{appendix}

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